Attention and masking embedded ensemble reinforcement learning for smart energy optimization and risk evaluation under uncertainties
T Sogabe, DB Malla, CC Chen… - Journal of Renewable and …, 2022 - pubs.aip.org
Integrating residential-level photovoltaic energy generation and energy storage for the on-
grid system is essential to reduce electricity use for residential consumption from the grid …
grid system is essential to reduce electricity use for residential consumption from the grid …
Real-time day ahead energy management for smart home using machine learning algorithm
N Vasudevan, V Venkatraman… - Journal of Intelligent …, 2021 - content.iospress.com
Smart grid is a sophisticated and smart electrical power transmission and distribution
network, and it uses advanced information, interaction and control technologies to build up …
network, and it uses advanced information, interaction and control technologies to build up …
Smart home load scheduling system with solar photovoltaic generation and demand response in the smart grid
LG Hua, SH Ali Shah, B Alghamdi, G Hafeez… - Frontiers in Energy …, 2024 - frontiersin.org
This study introduces a smart home load scheduling system that aims to address concerns
related to energy conservation and environmental preservation. A comprehensive demand …
related to energy conservation and environmental preservation. A comprehensive demand …
Renewable based techno-economic analysis for telecommunication system: A case study of western Himalaya
This research article presents a technoeconomic analysis of an RET-based model for
powering a hilly remote area telecom tower in Chamba district of Himachal Pradesh, India …
powering a hilly remote area telecom tower in Chamba district of Himachal Pradesh, India …
Managing smart grids–Experiences from Hungary
N Piricz - 2023 IEEE 23rd International Symposium on …, 2023 - ieeexplore.ieee.org
Demand for electricity is steadily increasing from both industry and households. The study of
smart grids in operation from an economic and management perspective is still relatively …
smart grids in operation from an economic and management perspective is still relatively …
An Elastic Blockchain IoT-based Intelligent Edge-Fog Collaboration Computing Platform
Edge-Fog Computing is closely related to IoT, 5G, and the blockchain, and various new
technologies which are being actively studied in the fields of smart city, machine vision, and …
technologies which are being actively studied in the fields of smart city, machine vision, and …
Unaprijeđeni model dvoslojnog adaptivnog sustava za kratkoročno upravljanje energijom unutar energetske zajednice
N Mišljenović - 2024 - repozitorij.etfos.hr
U ovoj disertaciji razvijeni su optimizacijski algoritam za određivanje cijena električne
energije za primjenu vehicle-to-building (V2B) usluge, odnosno cijene razmjene električne …
energije za primjenu vehicle-to-building (V2B) usluge, odnosno cijene razmjene električne …
Application of Genetic Algorithm in Sensor Networks and Smart Grid
This chapter describes the usage of genetic algorithms (GAs) in multiple real‐time
applications. The subarea of wireless sensor networks is explored with the help of a GA to …
applications. The subarea of wireless sensor networks is explored with the help of a GA to …